From More-Like-This to Better-Than-This: Hotel Recommendations from User Generated Reviews
|Title:||From More-Like-This to Better-Than-This: Hotel Recommendations from User Generated Reviews||Authors:||Dong, Ruihai
|Permanent link:||http://hdl.handle.net/10197/9026||Date:||17-Jul-2016||Abstract:||To help users discover relevant products and items recommender systems must learn about the likes and dislikes of users and the pros and cons of items. In this paper, we present a novel approach to building rich feature-based user profiles and item descriptions by mining user-generated reviews. We show how this information can be integrated into recommender systems to deliver better recommendations and an improved user experience.||Funding Details:||Science Foundation Ireland||Type of material:||Conference Publication||Publisher:||ACM||Copyright (published version):||2016 the authors||Keywords:||Recommender Systems||DOI:||10.1145/2930238.2930276||Language:||en||Status of Item:||Peer reviewed||Is part of:||UMAP '16 Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization||Conference Details:||UMAP ’16, Halifax, NS, Canada|
|Appears in Collections:||Insight Research Collection|
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